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Job Summary Lepton Software is hiring a Principal Engineer - AI Machine Learning to lead technical strategy for data platforms, machine learning systems, and AI/GenAI infrastructure. This is an individual contributor role focused on architecture, innovation, and cross-functional collaboration. The role includes defining data architecture, ML engineering platforms, and GenAI infrastructure powering enterprise products. Responsibilities Data Platform Architecture Design and lead modern data platform architecture Build scalable systems for data ingestion, processing, transformation, and storage Enable governed and reliable data access for analytics, ML models, and AI applications Data Engineering Build and manage large-scale data pipelines and ETL/ELT systems Implement Data Lake, Data Warehouse, and Lakehouse architectures Ensure scalability, reliability, and performance of data infrastructure AI / Machine Learning Engineering Build infrastructure for training, deploying, and monitoring ML models Develop scalable ML pipelines and feature engineering systems Enable AI-powered capabilities within applications Generative AI LLM Systems Drive adoption of Generative AI technologies across products Design systems using Large Language Models (LLMs) Build architectures for: LLM integration Retrieval-Augmented Generation (RAG) Vector search systems AI agents and copilots Evaluate and integrate GenAI frameworks and tools MLOps AI Infrastructure Build infrastructure for: Model training Model versioning Model deployment Monitoring and observability Experimentation frameworks Establish MLOps best practices for production ML systems Data Governance Quality Implement frameworks for: Data lineage Data quality monitoring Access controls Compliance and governance AI Adoption Across Products Partner with engineering teams to enable: Predictive analytics Recommendation systems Intelligent automation AI-driven decision systems GenAI-powered product features Required Qualifications 5+ years of hands-on experience building production data and AI/ML systems Experience designing and implementing large-scale data platforms and ML infrastructure Strong understanding of Generative AI and LLM-based applications in production Preferred Qualifications Experience building AI-powered enterprise platforms Experience integrating GenAI features into production systems Experience with large-scale data environments Familiarity with geospatial or location intelligence data Key Skills Data pipelines Data platforms Lakehouse architectures Streaming and real-time data processing ML pipelines Feature stores Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Vector databases and embedding systems Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. Disclaimer: The job location mentioned in this description is based on publicly available information or company headquarters. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.